Generative AI Engineering SME - JTA Review

GenerativeAI Engineering SME - JTA Review (Microsoft Azure Ecosystem)

Location: Remote, US
Project Duration: Up to 10 hours

SweetRush has an exciting opportunity for a talented professional to join our Custom Learning Project team!

Who We Are

SweetRush is a consulting, design, and staffing firm specializing in HR-related services that help foster life-centered businesses and organizations. Our work includes designing unique learning experiences using agency-level graphics and leading-edge technology; creating high-performing cultures, leaders, and teams; and helping our clients grow their learning teams with qualified professionals.

Many of our clients are household names with large international operations, while others are small nonprofits whose work we value as essential to the world. We try to balance the work we do for profit with the work we do to spread good things in the world.

SweetRush is a leader in the field of learning and development, making use of emerging technologies (like VR and AR), games, storytelling, chatbots, interactive virtual and in-person experiences, and so on, all while grounding our work in vibrant and impactful human-centered design. The many awards we win every year reflect the care we put into our craft and our collaborations with clients. We’ve been grateful to have won awards with Hilton, Google, Bridgestone, Adidas, SHRM, and numerous others.

We are a completely virtual, tight-knit, talented community that spans the globe, a culture-forward team that values diversity, respect, and caring. Our folks tend to stick around, as do our clients. 

We like to think we stand apart from competitors for the uniqueness and innovation of everything we create—and for who we are. And we’re committed to hiring talent that’s as creative, innovative, and caring as everyone on our team. This is where you come in…

Position Overview

We are seeking a Generative AI Engineer to contribute to a Skill Task Analysis (STA) project focused on Microsoft’s Generative AI Engineering capabilities. This role will involve documenting, organizing, and validating the technical skills and tasks required to build, evaluate, and deploy generative AI models within the Microsoft ecosystem. You will work with a cross-functional team to help structure the future of skill-based AI talent development, including domains such as large language models, multimodal systems, data pipelines, cloud deployment, and MLOps.

Key Responsibilities

• Analyze and document core skills related to Generative AI Engineering across Microsoft platforms and tools
• Structure tasks in key technical domains, including:
  • ​​​​​​​Neural networks, CNNs, RNNs, and transformer models
  • Generative models: GANs, VAEs, diffusion models, autoregressive architectures
  • Multimodal models: CLIP, DALL·E, GIT, BLIP
  • Large language models (LLMs) with Azure OpenAI
  • Agentic workflows using Semantic Kernel, LangChain, and Assistants API
  • Data handling and synthetic data generation using Azure Data Factory and Synapse
  • Model deployment with Docker, AKS, and Azure ML endpoints
  • MLOps practices, CI/CD pipelines, and model lifecycle automation
  • Ethics, safety, and Responsible AI aligned with Microsoft’s principles
• Support task mapping and validation to ensure technical clarity, role alignment, and practical relevance
• ​​​​​​​Contribute to iterative reviews and improvements to ensure completeness and accuracy of the skill analysis.

Required Skills and Qualifications

• Deep understanding of generative AI concepts and architectures, including transformers, LLMs, GANs, and VAEs.
• ​​​​​​​Hands-on experience with Microsoft technologies, such as:
  • Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Search
  • ​​​​​​​GitHub, GitHub Copilot, and Visual Studio Code
  • Docker, Kubernetes (AKS), and Azure Container Instances
• Proficiency in designing and deploying agentic workflows with tools like Semantic Kernel and LangChain.
• Familiarity with data preprocessing, augmentation, and synthetic data generation for text, image, and video.
• Knowledge of model optimization techniques: quantization, pruning, ONNX Runtime, and performance tuning.
• Experience with MLOps workflows using GitHub Actions, Azure DevOps, and Azure ML for tracking, versioning, and monitoring models.
• Commitment to ethical AI development, including bias mitigation, secure practices, and responsible deployment.

Preferred Qualifications

• Experience developing or contributing to retrieval-augmented generation (RAG) systems using Azure Cognitive Search.
• Strong understanding of multimodal model integration (text, image, and video) using Azure Cognitive Services.
• Ability to evaluate model performance using BLEU, FID, or other appropriate metrics.
• Familiarity with CI/CD pipelines for GenAI, model interpretability tools, and debugging practices.
• Demonstrated ability to scale AI systems using Azure Load Balancer, distributed compute, or parallel training.

SweetRush Is an Equal Opportunity Employer

We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, or belief; national, social, or ethnic origin; sex (including pregnancy); age; physical, mental, or sensory disability; HIV status; sexual orientation, gender identity, and/or expression; marital, civil union, or domestic partnership status; past or present military service; family medical history or genetic information; family or parental status; or any other status protected by the laws or regulations in the locations where we operate. SweetRush will not tolerate discrimination or harassment based on any of these characteristics. We encourage applicants of all ages.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Call to Action: Submit Your Resume!

Team chemistry is everything to us, so our ultimate goal is to find the right fit. If the above describes your interests and experience, and you believe this will be a dream job, please submit your resume. We are excited to hear from you!

Please note: We're all about remote work and have collaborators based all around the world; however, SweetRush is a US-based company, and English is our primary language. If you'd like to be considered for this opportunity, please submit your resume in English.

SweetRush believes in transparency and fairness. And for that reason, all of our active searches are available on the SweetRush “Join Us” page at https://www.sweetrush.com/join-us/.  You can also find a handful of openings posted on our LinkedIn company page under the “Jobs” tab at https://www.linkedin.com/company/sweetrush/jobs/. 

Unfortunately, cybercriminals take advantage of good people. Please know that SweetRush would never ask for your personal information such as SSN, banking information, credit cards, etc. during the application or interview process. Always be mindful to protect your personal and financial information, and use careful judgment when providing information to recruiters or talent acquisition professionals.